The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-24"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "79368142 (up from 78704434 yesterday: 0.84 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1742271 (up from 1730663 yesterday: 0.67 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 14079664

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.2



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 18650454 192081 1.04 4445413 329023 2899 0.89 1.76
India 10146845 23067 0.23 575286 147092 336 0.23 1.45
Brazil 7423945 58428 0.79 936861 189982 762 0.40 2.56
Russia 2934695 29499 1.02 579761 52434 624 1.20 1.79
France 2584333 21718 0.85 272080 62389 291 0.47 2.41
United Kingdom 2195144 39148 1.82 516726 69732 575 0.83 3.18
Turkey 2100712 18102 0.87 1367451 19115 254 1.35 0.91
Italy 2009317 18039 0.91 344488 70900 505 0.72 3.53
Spain 1854951 12662 0.69 179049 49824 126 0.25 2.69
Germany 1630596 26467 1.65 489052 29330 421 1.46 1.80
Argentina 1563865 0 0.00 116133 42314 0 0.00 2.71
Colombia 1559766 14940 0.97 216444 41454 280 0.68 2.66
Mexico 1362564 12485 0.92 217921 121172 861 0.72 8.89
Poland 1239998 13115 1.07 211388 26752 497 1.89 2.16
Iran 1183182 6178 0.52 179688 54308 152 0.28 4.59
Ukraine 1030125 11926 1.17 236753 18057 234 1.31 1.75
Peru 1000153 0 0.00 33078 37218 0 0.00 3.72
South Africa 968563 14305 1.50 167691 25983 326 1.27 2.68
Netherlands 743493 11591 1.58 196511 10914 89 0.82 1.47
Indonesia 692838 7199 1.05 134961 20589 181 0.89 2.97
Czechia 660461 14149 2.19 122798 10776 112 1.05 1.63
Belgium 634904 2583 0.41 50047 19038 99 0.52 3.00
Romania 608561 4310 0.71 116350 14912 146 0.99 2.45
Chile 594152 3238 0.55 38746 16303 75 0.46 2.74
Iraq 588803 1127 0.19 30036 12744 7 0.05 2.16
Canada 538183 5677 1.07 138413 14745 129 0.88 2.74
Bangladesh 506102 1234 0.24 34363 7378 19 0.26 1.46
Pakistan 467222 2152 0.46 57150 9753 85 0.88 2.09
Philippines 465724 1720 0.37 30311 9055 7 0.08 1.94
Switzerland 428197 4898 1.16 88082 7098 69 0.98 1.66
Morocco 425864 2650 0.63 57240 7130 44 0.62 1.67
Sweden 396048 0 0.00 123405 8279 0 0.00 2.09
Israel 389678 4656 1.21 48272 3171 21 0.67 0.81
Portugal 387636 4378 1.14 80018 6413 70 1.10 1.65
Saudi Arabia 361725 189 0.05 3623 6159 11 0.18 1.70
Austria 347204 2847 0.83 53774 5745 91 1.61 1.65
Serbia 316344 4091 1.31 117186 2882 49 1.73 0.91
Hungary 311554 3292 1.07 79710 8729 113 1.31 2.80
Jordan 283690 1707 0.61 52453 3681 29 0.79 1.30
Nepal 256592 613 0.24 19003 1808 5 0.28 0.70
Panama 223674 3413 1.55 52455 3715 51 1.39 1.66
Georgia 216843 1972 0.92 69207 2276 43 1.93 1.05
Japan 210769 3762 1.82 54831 2967 26 0.88 1.41
Azerbaijan 210061 1850 0.89 76328 2380 40 1.71 1.13
Ecuador 208010 926 0.45 12126 13977 15 0.11 6.72
Croatia 202319 2233 1.12 62904 3464 70 2.06 1.71
United Arab Emirates 198435 1311 0.67 25684 647 2 0.31 0.33
Bulgaria 196658 772 0.39 41465 7023 45 0.64 3.57
Kazakhstan 194993 736 0.38 17607 2677 0 0.00 1.37
Belarus 181113 1917 1.07 39504 1358 9 0.67 0.75
Lebanon 165933 2708 1.66 33116 1353 20 1.50 0.82
Dominican Republic 163654 1158 0.71 17645 2404 3 0.12 1.47
Costa Rica 162990 1048 0.65 20485 2086 21 1.02 1.28
Slovakia 161562 2657 1.67 50354 1732 46 2.73 1.07
Armenia 156142 702 0.45 17634 2714 23 0.85 1.74
Bolivia 153121 1057 0.70 7935 9076 11 0.12 5.93
Kuwait 149017 244 0.16 5443 926 2 0.22 0.62
Denmark 146927 2874 2.00 61264 1114 18 1.64 0.76
Qatar 142605 157 0.11 3128 243 0 0.00 0.17
Moldova 139435 1222 0.88 27128 2848 23 0.81 2.04
Guatemala 134894 638 0.48 10841 4749 10 0.21 3.52
Greece 134235 870 0.65 22698 4457 55 1.25 3.32
West Bank and Gaza 129080 1704 1.34 36372 1243 17 1.39 0.96
Egypt 128993 1021 0.80 11837 7260 51 0.71 5.63
Oman 128290 54 0.04 3961 1491 0 0.00 1.16
Tunisia 126752 1752 1.40 27472 4324 49 1.15 3.41
Lithuania 123889 3795 3.16 56823 1186 43 3.76 0.96
Ethiopia 121399 410 0.34 9820 1882 12 0.64 1.55
Burma 119788 919 0.77 24770 2532 25 1.00 2.11
Honduras 118036 0 0.00 8276 3054 0 0.00 2.59
Slovenia 112021 2087 1.90 30672 2479 25 1.02 2.21
Venezuela 111245 221 0.20 7697 1006 4 0.40 0.90
Bosnia and Herzegovina 108298 728 0.68 16759 3878 40 1.04 3.58
Paraguay 103329 958 0.94 17852 2154 16 0.75 2.08
Malaysia 100318 1581 1.60 31223 446 2 0.45 0.44

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2040188 37694 1.88 753638 23881 323 1.37 1.17 51634.35 604.40 1 in 19
Texas 1659409 10840 0.66 314696 26707 301 1.14 1.61 57229.13 921.06 1 in 17
Florida 1247546 13147 1.07 218516 20995 121 0.58 1.68 58085.54 977.52 1 in 17
Illinois 925107 7037 0.77 165545 16960 118 0.70 1.83 73005.06 1338.40 1 in 14
New York 891270 12568 1.43 217095 37028 152 0.41 4.15 45815.26 1903.40 1 in 22
Ohio 653650 8828 1.37 206801 8456 95 1.14 1.29 55919.62 723.41 1 in 18
Georgia 618576 10286 1.69 130598 10582 63 0.60 1.71 58260.46 996.66 1 in 17
Pennsylvania 595808 9334 1.59 203374 14707 267 1.85 2.47 46540.27 1148.81 1 in 21
Tennessee 546497 5257 0.97 158245 6431 51 0.80 1.18 79977.04 941.14 1 in 13
Michigan 508449 0 0.00 97606 12415 0 0.00 2.44 50911.81 1243.13 1 in 20
Wisconsin 503706 3263 0.65 77172 5019 66 1.33 1.00 86511.24 862.01 1 in 12
North Carolina 494511 0 0.00 117280 6360 0 0.00 1.29 47149.79 606.40 1 in 21
Indiana 482734 6196 1.30 123304 7730 85 1.11 1.60 71705.04 1148.21 1 in 14
Arizona 473997 724 0.15 127576 8294 115 1.41 1.75 62246.05 1089.18 1 in 16
New Jersey 449842 4704 1.06 98843 18544 78 0.42 4.12 50645.39 2087.77 1 in 20
Minnesota 404403 1884 0.47 70777 5109 79 1.57 1.26 71707.34 905.91 1 in 14
Missouri 386685 3424 0.89 70450 5451 45 0.83 1.41 63004.41 888.16 1 in 16
Massachusetts 341925 5937 1.77 101018 11963 76 0.64 3.50 49201.36 1721.42 1 in 20
Alabama 338801 4232 1.26 78442 4676 89 1.94 1.38 69098.15 953.67 1 in 14
Virginia 323915 4782 1.50 79412 4791 31 0.65 1.48 37949.07 561.30 1 in 26
Colorado 319530 3030 0.96 72321 4550 88 1.97 1.42 55486.13 790.10 1 in 18
Louisiana 296499 2565 0.87 52421 7272 46 0.64 2.45 63779.77 1564.28 1 in 16
South Carolina 285028 2798 0.99 61965 5043 15 0.30 1.77 55359.07 979.47 1 in 18
Iowa 273661 1549 0.57 34937 3738 71 1.94 1.37 86736.90 1184.76 1 in 12
Oklahoma 272553 3277 1.22 68505 2328 45 1.97 0.85 68879.20 588.33 1 in 15
Maryland 260728 2866 1.11 55329 5627 59 1.06 2.16 43126.33 930.75 1 in 23
Utah 260589 2892 1.12 54424 1204 8 0.67 0.46 81282.72 375.55 1 in 12
Kentucky 250279 0 0.00 59679 2466 0 0.00 0.99 56019.99 551.97 1 in 18
Washington 233093 2891 1.26 53650 3184 22 0.70 1.37 30610.15 418.13 1 in 33
Kansas 212989 137 0.06 47833 2503 10 0.40 1.18 73108.84 859.16 1 in 14
Nevada 212211 2249 1.07 52679 2914 45 1.57 1.37 68896.19 946.06 1 in 15
Arkansas 211145 3204 1.54 46835 3406 30 0.89 1.61 69965.95 1128.63 1 in 14
Mississippi 202651 2326 1.16 43615 4556 23 0.51 2.25 68091.68 1530.84 1 in 15
Connecticut 172743 2038 1.19 46566 5791 55 0.96 3.35 48451.36 1624.27 1 in 21
Nebraska 160357 695 0.44 25647 1568 7 0.45 0.98 82897.20 810.58 1 in 12
Idaho 135233 1248 0.93 28778 1349 25 1.89 1.00 75462.11 752.76 1 in 13
New Mexico 135166 1924 1.44 32304 2272 29 1.29 1.68 64462.10 1083.54 1 in 16
Oregon 106821 851 0.80 27528 1415 12 0.86 1.32 25326.61 335.49 1 in 39
South Dakota 96546 506 0.53 13198 1430 41 2.95 1.48 109133.58 1616.44 1 in 9
North Dakota 90947 225 0.25 9842 1260 17 1.37 1.39 119343.31 1653.41 1 in 8
Rhode Island 82066 0 0.00 21344 1704 0 0.00 2.08 77467.45 1608.52 1 in 13
Montana 78929 407 0.52 13807 916 2 0.22 1.16 73849.76 857.05 1 in 14
West Virginia 77239 1303 1.72 26214 1228 34 2.85 1.59 43219.16 687.13 1 in 23
Puerto Rico 70808 320 0.45 16703 1423 15 1.07 2.01 22171.19 445.57 1 in 45
Delaware 53015 780 1.49 15559 888 16 1.83 1.67 54443.38 911.93 1 in 18
Alaska 45104 276 0.62 10541 199 2 1.02 0.44 61655.81 272.03 1 in 16
Wyoming 42664 0 0.00 7586 373 0 0.00 0.87 73716.35 644.48 1 in 14
New Hampshire 38902 390 1.01 15909 690 13 1.92 1.77 28610.49 507.46 1 in 35
District of Columbia 27436 210 0.77 5272 756 5 0.67 2.76 38875.01 1071.20 1 in 26
Maine 21226 735 3.59 8672 317 6 1.93 1.49 15790.66 235.83 1 in 63
Hawaii 20993 125 0.60 2509 285 0 0.00 1.36 14826.91 201.29 1 in 67
Vermont 6781 101 1.51 2139 120 3 2.56 1.77 10867.18 192.31 1 in 92

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 30769749 2040188 6.63 6295107 753638 11.97 778740.0
2 Texas 13136700 1659409 12.63 2119253 314696 14.85 453054.0
3 Florida 15093456 1247546 8.27 2358236 218516 9.27 702748.9
4 Illinois 12782980 925107 7.24 1976616 165545 8.38 1008772.1
5 New York 24070193 891270 3.70 4105029 217095 5.29 1237315.5
6 Ohio 7468945 653650 8.75 1198157 206801 17.26 638966.6
7 Georgia 5135306 618576 12.05 738641 130598 17.68 483667.8
8 Pennsylvania 3783914 595808 15.75 524520 203374 38.77 295572.3
9 Tennessee 5473851 546497 9.98 848190 158245 18.66 801070.0
10 Michigan 7850048 508449 6.48 1018249 97606 9.59 786037.9
11 Wisconsin 5179199 503706 9.73 661737 77172 11.66 889524.7
12 North Carolina 6547998 494511 7.55 1115299 117280 10.52 624327.4
13 Indiana 5431146 482734 8.89 1028190 123304 11.99 806739.3
14 Arizona 2720517 473997 17.42 415433 127576 30.71 357262.7
15 New Jersey 7398361 449842 6.08 1221525 98843 8.09 832943.3
16 Minnesota 5141662 404403 7.87 874682 70777 8.09 911701.7
17 Missouri 3535936 386685 10.94 411239 70450 17.13 576126.7
18 Massachusetts 10514045 341925 3.25 1836049 101018 5.50 1512920.4
19 Alabama 1824681 338801 18.57 208733 78442 37.58 372142.0
20 Virginia 4070000 323915 7.96 708999 79412 11.20 476831.0
21 Colorado 4197950 319530 7.61 854855 72321 8.46 728970.7
22 Louisiana 4075822 296499 7.27 533921 52421 9.82 876748.2
23 South Carolina 2998755 285028 9.50 549655 61965 11.27 582428.0
24 Iowa 1157711 273661 23.64 74226 34937 47.07 366936.7
25 Oklahoma 2568884 272553 10.61 407395 68505 16.82 649204.7
26 Maryland 5465868 260728 4.77 938552 55329 5.90 904094.8
27 Utah 2171768 260589 12.00 305711 54424 17.80 677416.2
28 Kentucky 3061692 250279 8.17 373530 59679 15.98 685299.0
29 Washington 3620650 233093 6.44 726283 53650 7.39 475469.6
30 Kansas 962204 212989 22.14 131022 47833 36.51 330278.2
31 Nevada 2003596 212211 10.59 320838 52679 16.42 650485.2
32 Arkansas 1989073 211145 10.62 269672 46835 17.37 659108.1
33 Mississippi 1330309 202651 15.23 188878 43615 23.09 446990.0
34 Connecticut 4125079 172743 4.19 730966 46566 6.37 1157011.8
35 Nebraska 1681771 160357 9.54 275448 25647 9.31 869398.3
36 Idaho 532715 135233 25.39 52015 28778 55.33 297263.2
37 New Mexico 1876924 135166 7.20 272010 32304 11.88 895125.0
38 Oregon 2537482 106821 4.21 1489104 27528 1.85 601621.7
39 South Dakota 366510 96546 26.34 31813 13198 41.49 414295.2
40 North Dakota 1218701 90947 7.46 112193 9842 8.77 1599215.0
41 Rhode Island 1887457 82066 4.35 293450 21344 7.27 1781693.9
42 Montana 771693 78929 10.23 102612 13807 13.46 722033.0
43 West Virginia 1436290 77239 5.38 264688 26214 9.90 803677.6
45 Delaware 921583 53015 5.75 164954 15559 9.43 946413.1
46 Alaska 1227735 45104 3.67 187230 10541 5.63 1678276.8
47 Wyoming 478351 42664 8.92 66066 7586 11.48 826511.6
48 New Hampshire 992283 38902 3.92 153583 15909 10.36 729774.9
49 District of Columbia 856781 27436 3.20 146790 5272 3.59 1214002.4
50 Maine 1068208 21226 1.99 166372 8672 5.21 794672.3
51 Hawaii 786641 20993 2.67 102906 2509 2.44 555587.7
52 Vermont 671230 6781 1.01 104163 2139 2.05 1075708.1

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4737558 467255 2656 0.57 9.86 4178 521 57908 24677 5.28
Veneto 3188128 229782 3837 1.70 7.21 2630 351 104022 5859 2.55
Piemonte 1642265 192500 1057 0.55 11.72 3144 213 34870 7727 4.01
Campania 1966694 184273 1156 0.63 9.37 1488 102 80009 2663 1.45
Emilia-Romagna 2485596 161163 1692 1.06 6.48 2718 201 57299 7335 4.55
Lazio 2619089 153976 1519 1.00 5.88 2690 293 75491 3458 2.25
Toscana 1830077 117542 563 0.48 6.42 888 161 10969 3552 3.02
Sicilia 1172687 87877 853 0.98 7.49 1008 173 33380 2239 2.55
Puglia 996863 84663 1458 1.75 8.49 1422 170 53131 2284 2.70
Liguria 689389 58526 328 0.56 8.49 687 64 5958 2831 4.84
Friuli Venezia Giulia 898714 46715 831 1.81 5.20 582 56 12102 1514 3.24
Marche 504651 38707 415 1.08 7.67 409 64 9415 1504 3.89
Abruzzo 501153 34098 223 0.66 6.80 491 35 11694 1156 3.39
Sardegna 462857 29467 331 1.14 6.37 498 41 16015 698 2.37
P.A. Bolzano 352056 28540 142 0.50 8.11 157 17 9107 704 2.47
Umbria 488681 27745 192 0.70 5.68 238 38 3521 591 2.13
Calabria 425459 22021 244 1.12 5.18 284 21 8359 437 1.98
P.A. Trento 437593 20685 238 1.16 4.73 326 49 1746 887 4.29
Basilicata 179623 10378 155 1.52 5.78 96 8 5943 235 2.26
Valle d’Aosta 61008 7119 35 0.49 11.67 83 4 427 371 5.21
Molise 112219 6285 115 1.86 5.60 53 7 2266 178 2.83

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 185872 2349 1.28 7913 46 0.58 4.26 21770.80 926.83 1 in 46
Ontario 169137 2335 1.40 4303 55 1.29 2.54 11496.67 292.49 1 in 87
Alberta 93781 0 0.00 890 0 0.00 0.95 21250.37 201.67 1 in 47
British Columbia 48609 582 1.21 808 12 1.51 1.66 9510.82 158.09 1 in 105
Manitoba 23624 243 1.04 617 12 1.98 2.61 17149.70 447.91 1 in 58
Saskatchewan 14255 154 1.09 134 4 3.08 0.94 12063.48 113.40 1 in 83
Nova Scotia 1465 7 0.48 65 0 0.00 4.44 1498.79 66.50 1 in 667
New Brunswick 587 2 0.34 8 0 0.00 1.36 752.57 10.26 1 in 1329
Newfoundland and Labrador 384 0 0.00 4 0 0.00 1.04 736.53 7.67 1 in 1358
Nunavut 265 1 0.38 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 3 3.30 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 1 1.69 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 57000.17 1005.57 1 in 18
India 7577.93 109.85 1 in 132
Brazil 35470.35 907.70 1 in 28
Russia 20309.31 362.87 1 in 49
France 38577.89 931.32 1 in 26
United Kingdom 33039.49 1049.55 1 in 30
Turkey 25995.69 236.54 1 in 38
Italy 33222.83 1172.29 1 in 30
Spain 39754.63 1067.81 1 in 25
Germany 19695.57 354.27 1 in 51
Argentina 35325.62 955.82 1 in 28
Colombia 31786.55 844.79 1 in 31
Mexico 10546.16 937.86 1 in 95
Poland 32648.71 704.37 1 in 31
Iran 14578.39 669.15 1 in 69
Ukraine NA NA 1 in NA
Peru 31089.62 1156.92 1 in 32
South Africa 17076.22 458.09 1 in 59
Netherlands 43276.66 635.27 1 in 23
Indonesia 2624.39 77.99 1 in 381

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 677299 9299 1.37
Cook Illinois 380096 7954 2.09
Maricopa Arizona 291778 4833 1.66
Miami-Dade Florida 283285 4108 1.45
Harris Texas 225102 3306 1.47
Dallas Texas 179418 1904 1.06
San Bernardino California 174091 1420 0.82
Clark Nevada 160569 2244 1.40
Riverside California 158110 1805 1.14
Orange California 138310 1782 1.29
San Diego California 136955 1382 1.01
Tarrant Texas 135793 1350 0.99
Broward Florida 130978 1798 1.37
Queens New York 114580 7490 6.54
Kings New York 113125 7653 6.77
Bexar Texas 106793 1666 1.56
Salt Lake Utah 102160 531 0.52
El Paso Texas 96428 1598 1.66
Philadelphia Pennsylvania 89887 2356 2.62
Milwaukee Wisconsin 89025 971 1.09
Suffolk New York 86715 2226 2.57
Hennepin Minnesota 84116 1345 1.60
Wayne Michigan 82216 3542 4.31
Nassau New York 80003 2354 2.94
Palm Beach Florida 78852 1858 2.36
Franklin Ohio 78759 696 0.88
Bronx New York 77887 5103 6.55
Hillsborough Florida 72860 1056 1.45
Orange Florida 71524 726 1.02
Middlesex Massachusetts 69259 2644 3.82
Marion Indiana 66512 1076 1.62
St. Louis Missouri 66284 1334 2.01
Cuyahoga Ohio 65552 875 1.33
Westchester New York 65137 1628 2.50
Utah Utah 63572 203 0.32
Shelby Tennessee 62981 837 1.33
Pima Arizona 62357 962 1.54
Kern California 61324 485 0.79
Santa Clara California 61090 643 1.05
Fresno California 60488 646 1.07
King Washington 59894 976 1.63
Sacramento California 59661 797 1.34
DuPage Illinois 59212 971 1.64
Oakland Michigan 58949 1572 2.67
New York New York 58638 3286 5.60
Davidson Tennessee 57833 537 0.93
Mecklenburg North Carolina 57755 514 0.89
Duval Florida 57050 711 1.25
Providence Rhode Island 55922 1277 2.28
Oklahoma Oklahoma 55011 416 0.76
Essex Massachusetts 53682 1625 3.03
Gwinnett Georgia 53261 586 1.10
Fulton Georgia 53253 772 1.45
Fairfield Connecticut 53101 1669 3.14
Prince George’s Maryland 51912 1051 2.02
Douglas Nebraska 50962 485 0.95
Suffolk Massachusetts 50653 1341 2.65
Will Illinois 50238 741 1.47
Hidalgo Texas 49728 2176 4.38
Allegheny Pennsylvania 49650 888 1.79
Hamilton Ohio 48711 411 0.84
Jefferson Alabama 48517 658 1.36
Jefferson Kentucky 48487 512 1.06
Macomb Michigan 48060 1543 3.21
Travis Texas 47076 528 1.12
Alameda California 46753 619 1.32
Lake Illinois 46551 772 1.66
Denver Colorado 45920 649 1.41
Tulsa Oklahoma 45349 367 0.81
Essex New Jersey 45014 2361 5.25
Bergen New Jersey 44626 2275 5.10
New Haven Connecticut 44134 1486 3.37
Collin Texas 44070 345 0.78
Montgomery Maryland 43454 1080 2.49
Hartford Connecticut 43253 1790 4.14
Pinellas Florida 42176 1013 2.40
Middlesex New Jersey 42071 1623 3.86
Kent Michigan 41834 511 1.22
Fairfax Virginia 41339 666 1.61
Hudson New Jersey 41309 1673 4.05
San Joaquin California 40695 603 1.48
Cobb Georgia 40644 560 1.38
Polk Iowa 40318 406 1.01
Lubbock Texas 40249 516 1.28
Kane Illinois 39970 577 1.44
Wake North Carolina 39487 337 0.85
El Paso Colorado 39373 526 1.34
Bernalillo New Mexico 38676 512 1.32
Worcester Massachusetts 38594 1448 3.75
Passaic New Jersey 38469 1424 3.70
Lee Florida 38288 646 1.69
Adams Colorado 38210 489 1.28
Erie New York 38196 1114 2.92
Lake Indiana 38108 570 1.50
Sedgwick Kansas 36975 349 0.94
Baltimore Maryland 36897 894 2.42
Johnson Kansas 36727 413 1.12
Arapahoe Colorado 36328 533 1.47
Contra Costa California 36313 308 0.85
Denton Texas 36303 314 0.86

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc